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In the context of a Convolutional Neural Network (CNN) for image classification of animals, consider an image with a size of 55 pixels, and a filter of 33 dimensions has been provided below. Assuming the scenario involves classifying images of cats, dogs, and elephants using CNN, explain the process of applying this filter to the image and how it contributes to the classification task. Specifically, describe the convolution operation in determining whether the image contains a cat, dog, or elephant. Input Feature Map Convolutional Filter a) What is the resulting feature map (X) after doing the convolution? [4 Marks] b) Suppose, we have applied a 22 average pooling on the feature map (X), what will be the final feature map ( X) ? [3 Marks] c) Suppose we flattened the final feature map (X') and fed it into a neural network which has two hidden layers. First hidden layer has 2 neurons and the second hidden layer has 3 neurons in it. Draw the neural network architecture. [3 Marks]